Simulation and parameter optimisation of a centrifugal rice seeding spreader for a UAV

Wu, Zhijun; Li, Mengliang; Lei, Xiaolong; Wu, Zewei; Jiang, Chengkun; Zhou, Long; Ma, Rongchao; Chen, Yong

doi:10.1016/j.biosystemseng.2020.02.004

Cited by 43 publications

(18 citation statements)

References 7 publications

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“…The development of a precise variable fertilizer aerial intelligent fertilizer application system for rice would be a breakthrough to improve rice yield. Researchers are exploring real-time aerial variable fertilizer application technology based on prescription maps and the construction of modularly integrated centrifugal spreading machinery [28]. Many scholars have studied variable fertilizer application devices in recent years using the largearea farming model, which develops and improves relevant agricultural machinery to provide nutrient inputs for various crops and to reduce the chemical pollution in precision agriculture.…”

Section: Introductionmentioning

confidence: 99%

Single-Neuron PID UAV Variable Fertilizer Application Control System Based on a Weighted Coefficient Learning Correction

Yao

et al. 2022

Agriculture

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Agricultural unmanned aerial vehicles (UAVs), which are a new type of fertilizer application technology, have been rapidly developed internationally. This study combines the agronomic characteristics of rice fertilization with weighted coefficient learning-modified single-neuron adaptive proportional–integral–differential (PID) control technology to study and design an aerial real-time variable fertilizer application control system that is suitable for rice field operations in northern China. The nitrogen deficiency at the target plot is obtained from a map based on a fertilizer prescription map, and the amount of fertilizer is calculated by a variable fertilizer application algorithm. The advantages and disadvantages of the two control algorithms are analyzed by a MATLAB simulation in an indoor test, which is integrated into the spreading system to test the effect of actual spreading. A three-factor, three-level orthogonal test of fertilizer-spreading performance is designed for an outdoor test, and the coefficient of variation of particle distribution Cv (a) as well as the relative error of fertilizer application λ (b) are the evaluation indices. The spreading performance of the spreading system is the best and can effectively achieve accurate variable fertilizer application when the baffle opening is 4%, spreading disc speed is 600 r/min, and flight height is 2 m, with a and b of evaluation indexes of 11.98% and 7.02%, respectively. The control error of the spreading volume is 7.30%, and the monitoring error of the speed measurement module is less than 30 r/min. The results show that the centrifugal variable fertilizer spreader improves the uniformity of fertilizer spreading and the accuracy of fertilizer application, which enhances the spreading performance of the centrifugal variable fertilizer spreader.

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Section: Introductionmentioning

confidence: 99%

Single-Neuron PID UAV Variable Fertilizer Application Control System Based on a Weighted Coefficient Learning Correction

Yao

et al. 2022

Agriculture

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“…The rest of matrix 0 provides the same information for the other two evaluation indices and highlights the good performance of GFS-D in terms of swath width and uniformity. = { 0.9924, 9.0152E −12 , 0.0077 , 1.1671E − The normalized eigenvector (13) was obtained to represent the global priority of the hierarchical total sort by comprehensively considering the priorities of the criterion layer and scheme layer. The result of the consistency check for the hierarchical total sort was a CR of 0.0016 (CR<0.1), indicating the validity and acceptability of the normalized eigenvector for explaining the combined priority weights of the factors.…”

Section: ) Compution Of the Priority Weightsmentioning

confidence: 99%

“…To generate a nonhollow deposition distribution in the field experiment, Wu et al designed a baffle ring mounted around the disc for particle rebound. A bench test and a dynamic test of rice seeding were conducted before the field experiment [13]. The results of the field experiment using the optimum parameter settings evaluated in advance showed the feasibility of aerial spreading.…”

Section: Introductionmentioning

confidence: 99%

Test and Comprehensive Evaluation for the Performance of UAV-Based Fertilizer Spreaders

et al. 2020

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“…The yield of rape in Sichuan Province has been the largest in China over the years, but its mechanized sowing ratio is less than 30%. An important factor is that most of the fields in Sichuan are steep and mountainous and have small farmland [3], with more than 60% of the sloped fields in the hilly areas of rapeseed cultivation having an angle larger than 6 • . The commonly used large-scale planter cannot operate, and most of the fields are sown manually.…”

Section: Introductionmentioning

confidence: 99%

Seed-Filling Characteristics of a Centralized Seed-Metering Device for Rapeseed Caused by Vibration

Chang

et al. 2022

Agriculture

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Sowing quality is directly influenced by the seed-filling characteristics of a centralized seed-metering device, and vigorous seed-motion status deteriorates seeding performance resulting from field surface roughness, seeder vibration, etc. However, the relationship between vibration and seed-filling properties remains unclear. This study measured the vibration characteristics of a seed-metering device, examined unmeasurable seed-motion characteristics based on DEM simulation, and used bench tests to determine the seed-filling characteristics under vibration conditions. The frequency distribution of the rapeseed seeder was 0–180 Hz. The simulation results revealed that the vibration mainly changed the level of seed in the seed-filling area; moreover, it significantly increased the seed-filling angle, ranging from 56.00°–59.00° to 69.78°–91.40°, which affected the seed-filling performance. A vibration frequency of 10–40 Hz resulted in a target seed rate within 88.67–99.44%, but when there is no vibration, the target seed rate reached 100%. The bench test results demonstrated that the seed-filling angle under vibration will increase with an increase in longitudinal distance, and will change between 15.49°–102°. The seed-filling performance affected by longitudinal distance was larger than that affected by lateral distance. By adjusting the longitudinal distance to range from 0–20 mm, the target seed rate could be maintained above 91%. The findings help to improve our knowledge of seed-filling characteristics under vibration conditions, and should be conducive to improving seeding performance by adjusting the seed layer height to reduce the impact of vibration on field operations.

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Simulation and parameter optimisation of a centrifugal rice seeding spreader for a UAV

Cited by 43 publications

References 7 publications

Single-Neuron PID UAV Variable Fertilizer Application Control System Based on a Weighted Coefficient Learning Correction

Single-Neuron PID UAV Variable Fertilizer Application Control System Based on a Weighted Coefficient Learning Correction

Test and Comprehensive Evaluation for the Performance of UAV-Based Fertilizer Spreaders

Seed-Filling Characteristics of a Centralized Seed-Metering Device for Rapeseed Caused by Vibration

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